Abstract: A room manager can generate mappings for a real-world room that support a shared XR environment. For example, the real-world room can include real-world objects and surfaces, such as a table(s), chair(s), wall(s), door(s), window(s), etc. The room manager can generate XR object definitions based on information received about the real-world room, object(s), and surface(s). For example, the room manager can implement a flow that guides a user equipped with an XR system to provide information for the XR object definitions, such as real-world surfaces that map to the XR object(s), borders (e.g., measured using a component of the XR system), such as borders on real-world surfaces, semantic information (e.g., number of seat assignments at an XR table, size of XR objects, etc.), and other suitable information. Implementations generate previews of the shared XR environment, such as a local preview and a remote preview.

Abstract: A room manager can generate mappings for a real-world room that support a shared XR environment. For example, the real-world room can include real-world objects and surfaces, such as a table(s), chair(s), wall(s), door(s), window(s), etc. The room manager can generate XR object definitions based on information received about the real-world room, object(s), and surface(s). For example, the room manager can implement a flow that guides a user equipped with an XR system to provide information for the XR object definitions, such as real-world surfaces that map to the XR object(s), borders (e.g., measured using a component of the XR system), such as borders on real-world surfaces, semantic information (e.g., number of seat assignments at an XR table, size of XR objects, etc.), and other suitable information. Implementations generate previews of the shared XR environment, such as a local preview and a remote preview.

Abstract: A room manager can generate mappings for a real-world room that support a shared XR environment. For example, the real-world room can include real-world objects and surfaces, such as a table(s), chair(s), wall(s), door(s), window(s), etc. The room manager can generate XR object definitions based on information received about the real-world room, object(s), and surface(s). For example, the room manager can implement a flow that guides a user equipped with an XR system to provide information for the XR object definitions, such as real-world surfaces that map to the XR object(s), borders (e.g., measured using a component of the XR system), such as borders on real-world surfaces, semantic information (e.g., number of seat assignments at an XR table, size of XR objects, etc.), and other suitable information. Implementations generate previews of the shared XR environment, such as a local preview and a remote preview.

Abstract: In one embodiment, a method includes receiving a number of notifications of activity relevant to a user. Each notification has an associated type. The method also includes calculating an inferred subscription level based at least in part on the type associated with each notification; classifying the notifications based on the inferred subscription of each notification; and sending one or more of the notifications to the user. Each of the sent notifications has an inferred subscription level higher than a pre-determined threshold subscription level.

Abstract: In one embodiment, a method includes receiving a number of notifications of activity relevant to a user. Each notification has an associated type. The method also includes calculating an interest of each activity to the user based at least in part on the type of each notification; ranking the notifications based at least in part on the calculated interest; and sending one or more of the notifications to the user. Each of the sent notifications has a ranking higher than a pre-determined threshold ranking.

Abstract: In one embodiment, a method includes receiving a number of notifications of one or more activities relevant to a user. Each notification has an associated receipt time and type of notification. The method also includes aggregating one or more of the notifications based on the type of notification; determining a sending time to send the aggregated notifications based at least in part on determining that a pre-determined amount of time that has elapsed from a receipt time of a most recent one of the aggregated notifications; and sending the aggregated notifications to the user based on the sending time.

Abstract: In one embodiment, a method includes receiving a number of notifications of activity relevant to a user. Each notification has an associated type. The method also includes calculating a level of interest in content of each notification to the user based at least in part on the type of each notification; modifying the content of one or more of the notifications based at least in part on the calculated level of interest; and sending one or more of the notifications with modified content to the user.

Abstract: In one embodiment, a method includes one or more computing devices accessing a notification to be sent to a user, where the notification has a context. The method also includes one or more computing devices sending a request to a history service for historical notification data associated with the user with respect to the context of the notification and a ranking of the notification where the ranking indicates a probability of the user interacting with the notification. The method also includes one or more computing devices receiving the historical notification data and the ranking from the history service. Moreover, the method also includes one or more computing devices determining a notification policy to apply to the notification based at least in part on the context of the notification, the historical notification data, and the ranking. Furthermore, the method also includes one or more computing devices applying the notification policy to the notification to be sent to the user.

Abstract: In one embodiment, a method includes receiving a number of notifications of activity relevant to a user. Each notification has an associated type. The method also includes calculating an estimated click-through rate (CTR) for each notification based at least in part on the type associated with each notification; determining a push threshold value for each notification based at least in part on the estimated CTR for each notification; and sending one or more of the notifications to the user. Each of the sent notifications has a push threshold value higher than a pre-determined push threshold value.

Abstract: In one embodiment, a method includes receiving a number of notifications of activity relevant to a user. Each notification has an associated type. The method also includes calculating an interest of each activity to the user based at least in part on the type of each notification; ranking the notifications based at least in part on the calculated interest; and sending one or more of the notifications to the user. Each of the sent notifications has a ranking higher than a pre-determined threshold ranking.

Abstract: In one embodiment, a method includes receiving a number of notifications of activity relevant to a user. Each notification has an associated type. The method also includes calculating a level of interest in content of each notification to the user based at least in part on the type of each notification; modifying the content of one or more of the notifications based at least in part on the calculated level of interest; and sending one or more of the notifications with modified content to the user.

Abstract: In one embodiment, a method includes receiving a number of notifications of activity relevant to a user. Each notification has an associated type. The method also includes calculating an estimated click-through rate (CTR) for each notification based at least in part on the type associated with each notification; determining a push threshold value for each notification based at least in part on the estimated CTR for each notification; and sending one or more of the notifications to the user. Each of the sent notifications has a push threshold value higher than a pre-determined push threshold value.

Abstract: In one embodiment, a method includes receiving a number of notifications of one or more activities relevant to a user. Each notification has an associated receipt time and type of notification. The method also includes aggregating one or more of the notifications based on the type of notification; determining a sending time to send the aggregated notifications based at least in part on determining that a pre-determined amount of time that has elapsed from a receipt time of a most recent one of the aggregated notifications; and sending the aggregated notifications to the user based on the sending time.

Abstract: In one embodiment, a method includes receiving a number of notifications of activity relevant to a user. Each notification has an associated type. The method also includes calculating an inferred subscription level based at least in part on the type associated with each notification; classifying the notifications based on the inferred subscription of each notification; and sending one or more of the notifications to the user. Each of the sent notifications has an inferred subscription level higher than a pre-determined threshold subscription level.

Abstract: In one embodiment, a method includes one or more computing devices accessing a notification to be sent to a user, where the notification has a context. The method also includes one or more computing devices sending a request to a history service for historical notification data associated with the user with respect to the context of the notification and a ranking of the notification where the ranking indicates a probability of the user interacting with the notification. The method also includes one or more computing devices receiving the historical notification data and the ranking from the history service. Moreover, the method also includes one or more computing devices determining a notification policy to apply to the notification based at least in part on the context of the notification, the historical notification data, and the ranking. Furthermore, the method also includes one or more computing devices applying the notification policy to the notification to be sent to the user.